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Tensorflow Internship Jobs in Raleigh, NC (NOW HIRING)

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

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Tensorflow Internship information

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$40

How much do tensorflow internship jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for tensorflow internship in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is a TensorFlow internship?

A TensorFlow internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with TensorFlow, an open-source machine learning framework developed by Google. Interns typically contribute to real-world projects involving machine learning, deep learning, and AI, using TensorFlow to build, train, and deploy models. These internships provide practical exposure to data science workflows, allow interns to collaborate with experienced professionals, and help them build a strong foundation for a career in artificial intelligence or machine learning.

What types of projects and responsibilities can a TensorFlow intern expect to work on during their internship?

As a Tensorflow intern, you will typically assist with developing and optimizing machine learning models using Tensorflow, collaborating closely with data scientists and engineers. Your daily tasks may include preprocessing datasets, implementing neural networks, running experiments, and evaluating model performance. Interns often contribute to ongoing research or product development, gaining exposure to both coding and theoretical aspects of deep learning. You'll also have opportunities to participate in code reviews and team meetings, fostering both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as a TensorFlow intern, and why are they important?

To thrive as a TensorFlow Intern, you typically need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects. Familiarity with Python, TensorFlow, and related libraries, as well as experience using version control systems like Git, is essential. Strong problem-solving skills, curiosity, and effective teamwork set standout candidates apart. These abilities are crucial for efficiently developing and testing machine learning models within collaborative and innovative environments.

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Tensorflow Internship jobs near you

Automations Engineer

SINNOVATEK SERVICES LLC

Middlesex, NC • On-site

$95 - $125/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Automations Engineer

Full Time Professional Middlesex, NC, US

3 days ago Requisition ID: 1144

Salary Range: $95,000.00 To $125,000.00 Annually

Duties and Responsibilities:
  • Assist in the design, modeling, and prototyping of process and packaging systems.
  • Support testing, assembly, and commissioning of prototypes under supervision.
  • Read and interpret mechanical drawings, electrical schematics, and process flow diagrams.
  • Specify, install, and troubleshoot sensors, actuators, and instrumentation for food manufacturing systems.
  • Participate in wiring, panel layout, and field testing activities.
  • Support integration, programming, and troubleshooting of PLC/HMI and SCADA systems.
  • Contribute to coding and testing of automation or AI-driven routines (predictive maintenance, data monitoring, optimization).
  • Assist with sensor data collection, labeling, and preprocessing for machine learning models.
  • Work on projects using Python, C++, or similar to interface with hardware systems.
  • Maintain accurate documentation including test reports, wiring diagrams, and engineering logs.
  • Ensure safe and organized work areas in labs and on production floors.
  • Participate in system commissioning and troubleshooting at customer sites when required.
  • Uphold SQF requirements including promotion of a strong & positive food safety culture
  • Active involvement in implementation, upkeep and continuous improvement of food safety as part of an interdisciplinary team
  • Stewardship for our B-corp mission to promote worldwide health and wellness by fostering the delivery of high quality, healthy foods through sustainable methods.
What You’ll Learn:
  • How to develop and test automated food manufacturing equipment
  • Machine learning integration in industrial environments
  • Industry codes, standards, and best practices (UL, CE, ISA, etc.)
  • Real-world project execution from concept to commissioning
  • Microwave and other electrical thermal processing technologies
Required:
  • Bachelor’s degree in Mechanical, Electrical, Automation, Mechatronics, Robotics, Computer Science, or a related engineering field (or graduation within 6 months).
  • Introductory experience or coursework in:
    • CAD (SolidWorks or AutoCAD)
    • Instrumentation and control systems
  • Controls integration with field devices (sensors, VFDs, flow meters, actuators).
  • Strong understanding of industrial communication protocols (EtherNet/IP, Modbus TCP, OPC UA).
  • Ability to troubleshoot electrical/automation systems in a production environment.
  • Hands-on mindset; comfortable using tools and learning in the field.
  • Strong communication, collaboration, and organizational skills.
  • Curiosity and eagerness to learn from a multidisciplinary team.
  • Active passport or ability to obtain one within the first 6 months.
Preferred (but not required):
  • Minimum of 2 years’ experience in automation, instrumentation, or controls engineering.
  • Familiarity with SCADA/HMI systems (Ignition, Wonderware, or WinCC).
  • Experience with data collection and integration from PLC/SCADA systems into historians, MES, or
  • Working knowledge of machine learning concepts and data analytics (TensorFlow, PyTorch, scikit-
  • learn, SQL).
  • Practical applications of ML in industrial settings (predictive maintenance, anomaly detection, process optimization).
  • Experience developing middleware or APIs to connect automation platforms with data pipelines.
  • Prior internships, capstone projects, or personal projects involving automation, robotics, or controls.
  • Basic electronics experience (soldering, sensor setup, instrumentation wiring).
  • Knowledge of OSHA safety standards and industrial safety practices.
  • Experience in food & beverage or other regulated manufacturing environments is a plus.
Physical Requirements:
  • Ability to work on the floor in a manufacturing setting; frequent walking and standing required.
  • Ability to work in hot, cold, or wet environments.
  • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus.
  • Flexibility to alternate between hands‑on manufacturing work and office‑based programming/data analysis.
  • Comfortable working in environments with shifting priorities and ambiguity.
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